A Survey on the Current Status of Research Data Management in Mecklenburg-Vorpommern Preliminary Results for a Questionnaire Study Among Researchers

Max Schröder, Sascha Genehr, Rüdiger Köhling, Stefan Schmidt, Ralf Schneider, Sascha Spors, G. Szepannek, Dagmar Waltemath, Frank Krüger
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Abstract

High quality research data management (RDM) is essential to support state of the art comprehensible and reproducible research processes and, thus, foster the sustainable production of novel and trustworthy research findings. While there are lots of national and international initiatives supporting researchers in all respects of RDM, the local infrastructures provide the foundation for these concepts. In this contribution, we present preliminary results of a study that collects the requirements of researchers on these local infrastructures in all seven higher education research institutions in Mecklenburg-Vorpommern (MV).  
梅克伦堡-前波莫瑞研究数据管理现状调查研究人员问卷调查初步结果
高质量的研究数据管理(RDM)对于支持最先进的可理解和可重复的研究过程至关重要,从而促进可持续地产生新颖和值得信赖的研究成果。虽然在RDM的各个方面有许多支持研究人员的国家和国际倡议,但当地的基础设施为这些概念提供了基础。在这篇文章中,我们介绍了一项研究的初步结果,该研究收集了梅克伦堡-前波莫瑞州(MV)所有七所高等教育研究机构的研究人员对这些当地基础设施的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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